AI-Based Transportation Planning and Operation
Overview & Synopsis
The purpose of this Special Issue is to create an an academic platform whereby high-quality research papers are published on the applications of innovative AI algorithms to transportation planning and operation. The authors present their original research articles related to the applications of AI or machine-learning techniques to transportation planning and operation. The topics of the articles encompass traffic surveillance, traffic safety, vehicle emission reduction, congestion management, traffic speed forecasting, and ride sharing strategy.
Indexed from repository: Directory of Open Access Books
(
www.doabooks.org)
Document Information
| Document Title | AI-Based Transportation Planning and Operation |
|---|---|
| Author / Organization | DOAB Contributor |
| Subject & Discipline | autoencoder |
| Categories | Open Access Books |
| Publication Year | 2021 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
Directory of Open Access Books
(www.doabooks.org)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-264467 |
| Original Source Link | Visit Source Page on www.doabooks.org » |